Molecular characterisation of TP53 mutated squamous cell carcinomas of the lung to identify putative targets for therapy.
Vilde Drageset HaakensenAnand KhadseVandana SandhuAnn Rita HalvorsenSteinar K SolbergLars H JørgensenOdd Terje BrustugunElin H KureÅslaug HellandPublished in: International journal of cancer (2020)
Personalised cancer treatment depends on identification of therapeutically relevant biological subgroups of patients for assessing effect of treatment and to discover new therapeutic options. By analyses in heterogeneous patient populations, the effects may be lost in noise. Squamous cell carcinoma of the lung is a major killer worldwide. Despite recent advances, mortality is high and response to therapies varies greatly from patient to patient. Target search in biologically relevant subgroups may identify treatment options not so far discovered. A total of 198 patients undergoing surgery for squamous cell carcinomas of the lung were included in the study. The tumours were analysed for copy number alterations (n = 152) and gene expression from tumour (n = 188) and normal lung (n = 21), with both data levels present in 140 patients. We studied alterations in tumours harbouring mutations in TP53 and in previously published gene expression subtypes. Genes with consistent alterations in both genomic levels were identified as putative biomarkers. Results were validated in TCGA. The most convincing biomarker in TP53 mutated squamous cell carcinomas of the lung was BIRC5 with amplification in 36% of mutated samples, 5% in wild-type samples and a 17%-fold change of expression between TP53 mutated tumours and normal lung tissue. BIRC5 was significantly altered in the classical and primitive subtypes. We suggest BIRC5 as a putative predictive biomarker and putative druggable target in squamous cell lung carcinomas harbouring TP53 mutation or classified as classical and primitive subtypes.
Keyphrases
- squamous cell
- gene expression
- copy number
- wild type
- squamous cell carcinoma
- end stage renal disease
- ejection fraction
- patients undergoing
- newly diagnosed
- high grade
- dna methylation
- case report
- prognostic factors
- type diabetes
- poor prognosis
- minimally invasive
- mesenchymal stem cells
- randomized controlled trial
- genome wide
- cardiovascular disease
- radiation therapy
- bone marrow
- mitochondrial dna
- risk factors
- transcription factor
- long non coding rna
- bioinformatics analysis
- smoking cessation
- coronary artery disease
- coronary artery bypass
- artificial intelligence
- air pollution
- systematic review
- patient reported
- surgical site infection